{"id":"W6955156594","doi":"10.57907/mirri/kmgepx","title":"MIRRI0127917","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Organism; Identification (biology); Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001562909,0.004617059,0.002606564,0.006525401,0.00186853,0.004705756,0.004282358,0.004671348,0.2791027],"category_scores_gemma":[0.009801233,0.001365968,0.002392437,0.00850878,0.000992269,0.002047342,0.003541704,0.002489685,0.3864354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001903107,"about_ca_system_score_gemma":0.004970731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02729875,"about_ca_topic_score_gemma":0.04849697,"domain_scores_codex":[0.9980483,0.0002967847,0.0001587132,0.0007210845,0.0004237885,0.0003513572],"domain_scores_gemma":[0.9960829,0.001085712,0.0003541252,0.0009395214,0.0008790248,0.0006587432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006586195,0.00001778125,0.0003595967,0.0006474126,0.00002591213,0.00001146046,0.00002195117,0.0001443534,0.0001146243,0.0002469747,0.997246,0.001098069],"study_design_scores_gemma":[0.0006946951,0.00004485011,0.002614056,0.0004338004,0.00008524807,0.00005901511,0.00009909767,0.0004344315,0.0004190749,0.001533733,0.9935281,0.00005388705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004892212,0.00006449565,0.00003830161,0.00005025499,0.00003195419,0.000009642977,0.9987893,0.0003905248,0.0005766549],"genre_scores_gemma":[0.0001848746,0.00005670685,0.0002265109,0.00008414404,0.00001091789,0.00006208536,0.9983839,0.0001505176,0.0008403474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7208973,"threshold_uncertainty_score":0.9336916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747992880743772,"score_gpt":0.3322065524780907,"score_spread":0.304726623670653,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}